Programs like Excel has everything packaged together so the whole program tends to work well. R, however, uses packages that might sometime either conflict and/or be out-of-step which each other. I am an R user and not an Excel fan but I have to admit that this is an issue that may be hard to argue against with Excel users. I do use renv to avoid package version issues by the way.
I'm much the same as you but have a ferocious vendetta against Excel, except for data entry and saving R exports. But besides that, it's just too clunky to me for anything beyond basic analysis. Sure, it can do more complex things and is friendlier for people unfamiliar with stats programming, but you're much better off in the long-run learning a language (obviously R should be the one in my unbiased opinion /s).
@Jason Cotter yes, but it lacks the rest: debugging tools, refactoring, integrated versioning, unit test capabilities, performance profiling, etc. In fact, R is just not a language to be used in IT production environment.
![[DSC 4.0] What Makes a Good Function - Hadley Wickham keynote](http://i.ytimg.com/vi/Qne86lxjgtg/mqdefault.jpg)
The next recipient of the Turing award will fix ACM audio
Definitely recommend R for Data Science
‘Data’ is definitely his favorite word
Indeed!
Nice talk! For the mentioned rstudio addin that generate code for changing the column names of a tibble?
For the love of the headphone gods, please balance the audio channels. Great content though.
Anybody had the slides for this talk?
Programs like Excel has everything packaged together so the whole program tends to work well. R, however, uses packages that might sometime either conflict and/or be out-of-step which each other. I am an R user and not an Excel fan but I have to admit that this is an issue that may be hard to argue against with Excel users. I do use renv to avoid package version issues by the way.
I'm much the same as you but have a ferocious vendetta against Excel, except for data entry and saving R exports. But besides that, it's just too clunky to me for anything beyond basic analysis. Sure, it can do more complex things and is friendlier for people unfamiliar with stats programming, but you're much better off in the long-run learning a language (obviously R should be the one in my unbiased opinion /s).
R is a "quirky language'' in no small part due to its original intent to be an free/libre implementation of S.
No post editing. Should have fixed the audio before posting.
RStudio is GUI :)
It's actually an IDE, also a GUI for the programming workflow not for data science
@@luciorq it's not an IDE, it's a GUI. PyCharm is an IDE, RStudio is not.
@Jason Cotter yes, but it lacks the rest: debugging tools, refactoring, integrated versioning, unit test capabilities, performance profiling, etc. In fact, R is just not a language to be used in IT production environment.
@@vincentlevorato4070 Really !!!?? Can you give me your definition of GUI
yea.. but I think you know what he is talking about
Awful audio level.
THX
R lacks capabilities and documentation in Deep Learning. It only translates Python code.
"only translates Python code". You are wrong, inform yourself a little bit